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Bioinformatics
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Bioinformatics
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Bioinformatics
Article . 2011
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The sufficient minimal set of miRNA seed types

Authors: Daniel C. Ellwanger; Florian A. Büttner; Hans-Werner Mewes; Volker Stümpflen;

The sufficient minimal set of miRNA seed types

Abstract

Abstract Motivation: Pairing between the target sequence and the 6–8 nt long seed sequence of the miRNA presents the most important feature for miRNA target site prediction. Novel high-throughput technologies such as Argonaute HITS-CLIP afford meanwhile a detailed study of miRNA:mRNA duplices. These interaction maps enable a first discrimination between functional and non-functional target sites in a bulky fashion. Prediction algorithms apply different seed paradigms to identify miRNA target sites. Therefore, a quantitative assessment of miRNA target site prediction is of major interest. Results: We identified a set of canonical seed types based on a transcriptome wide analysis of experimentally verified functional target sites. We confirmed the specificity of long seeds but we found that the majority of functional target sites are formed by less specific seeds of only 6 nt indicating a crucial role of this type. A substantial fraction of genuine target sites arenon-conserved. Moreover, the majority of functional sites remain uncovered by common prediction methods. Contact: florian.buettner@helmholtz-muenchen.de v.stuempflen@helmholtz-muenchen.de Supplementary Information: Supplementary data are available at Bioinformatics online.

Keywords

Base Sequence, Gene Expression Profiling, Oligonucleotides, Discovery Note, Mice, MicroRNAs, Animals, Humans, RNA, Messenger, Eukaryotic Initiation Factors, Algorithms, Oligonucleotide Array Sequence Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
109
Top 10%
Top 10%
Top 10%
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